Protein ID | Domain | Pfam ID | E-value | Domain number | Total number |
---|---|---|---|---|---|
ENSATEP00000013447 | zf-nanos | PF05741.13 | 3.5e-26 | 1 | 1 |
Transcript ID | Name | Length | RefSeq ID | Protein ID | Length | RefSeq ID | UniportKB ID |
---|---|---|---|---|---|---|---|
ENSATET00000013665 | - | 489 | - | ENSATEP00000013447 | 162 (aa) | - | - |
Ensembl ID | Gene Symbol | Coverage | Identiy | Ortholog | Gene Symbol | Coverage | Identiy | Species |
---|---|---|---|---|---|---|---|---|
ENSATEG00000009393 | nanos2 | 76 | 39.844 | ENSG00000187556 | NANOS3 | 66 | 38.235 | Homo_sapiens |
ENSATEG00000009393 | nanos2 | 80 | 39.286 | ENSG00000188425 | NANOS2 | 84 | 39.535 | Homo_sapiens |
ENSATEG00000009393 | nanos2 | 94 | 54.658 | ENSAPOG00000020274 | nanos2 | 95 | 54.658 | Acanthochromis_polyacanthus |
ENSATEG00000009393 | nanos2 | 76 | 42.276 | ENSAMEG00000012972 | NANOS3 | 61 | 42.276 | Ailuropoda_melanoleuca |
ENSATEG00000009393 | nanos2 | 89 | 44.138 | ENSACIG00000007105 | nanos2 | 82 | 45.517 | Amphilophus_citrinellus |
ENSATEG00000009393 | nanos2 | 94 | 55.844 | ENSAOCG00000009429 | nanos2 | 95 | 55.844 | Amphiprion_ocellaris |
ENSATEG00000009393 | nanos2 | 94 | 55.195 | ENSAPEG00000019139 | nanos2 | 95 | 55.844 | Amphiprion_percula |
ENSATEG00000009393 | nanos2 | 78 | 36.220 | ENSACAG00000021948 | - | 81 | 37.795 | Anolis_carolinensis |
ENSATEG00000009393 | nanos2 | 78 | 40.310 | ENSACAG00000025729 | - | 80 | 38.095 | Anolis_carolinensis |
ENSATEG00000009393 | nanos2 | 78 | 37.008 | ENSACAG00000024274 | - | 81 | 38.583 | Anolis_carolinensis |
ENSATEG00000009393 | nanos2 | 78 | 38.095 | ENSACAG00000022790 | - | 84 | 37.795 | Anolis_carolinensis |
ENSATEG00000009393 | nanos2 | 78 | 38.095 | ENSACAG00000026819 | - | 79 | 38.889 | Anolis_carolinensis |
ENSATEG00000009393 | nanos2 | 78 | 37.008 | ENSACAG00000026478 | - | 81 | 38.583 | Anolis_carolinensis |
ENSATEG00000009393 | nanos2 | 78 | 36.508 | ENSACAG00000027196 | - | 82 | 38.095 | Anolis_carolinensis |
ENSATEG00000009393 | nanos2 | 78 | 39.683 | ENSACAG00000022236 | - | 80 | 39.683 | Anolis_carolinensis |
ENSATEG00000009393 | nanos2 | 78 | 38.095 | ENSACAG00000024003 | - | 82 | 37.795 | Anolis_carolinensis |
ENSATEG00000009393 | nanos2 | 78 | 36.220 | ENSACAG00000027728 | - | 81 | 37.795 | Anolis_carolinensis |
ENSATEG00000009393 | nanos2 | 78 | 36.220 | ENSACAG00000023774 | - | 81 | 37.795 | Anolis_carolinensis |
ENSATEG00000009393 | nanos2 | 78 | 36.508 | ENSACAG00000024504 | - | 82 | 38.095 | Anolis_carolinensis |
ENSATEG00000009393 | nanos2 | 78 | 37.008 | ENSACAG00000023803 | - | 81 | 38.583 | Anolis_carolinensis |
ENSATEG00000009393 | nanos2 | 78 | 40.310 | ENSACAG00000026716 | - | 80 | 38.889 | Anolis_carolinensis |
ENSATEG00000009393 | nanos2 | 78 | 37.008 | ENSACAG00000027995 | - | 81 | 38.583 | Anolis_carolinensis |
ENSATEG00000009393 | nanos2 | 78 | 40.310 | ENSACAG00000022322 | - | 80 | 35.714 | Anolis_carolinensis |
ENSATEG00000009393 | nanos2 | 78 | 37.008 | ENSACAG00000024364 | - | 81 | 38.583 | Anolis_carolinensis |
ENSATEG00000009393 | nanos2 | 78 | 36.220 | ENSACAG00000022918 | - | 81 | 37.795 | Anolis_carolinensis |
ENSATEG00000009393 | nanos2 | 78 | 37.008 | ENSACAG00000023428 | - | 81 | 38.583 | Anolis_carolinensis |
ENSATEG00000009393 | nanos2 | 78 | 37.008 | ENSACAG00000023391 | - | 81 | 38.583 | Anolis_carolinensis |
ENSATEG00000009393 | nanos2 | 78 | 37.008 | ENSACAG00000025307 | - | 81 | 38.583 | Anolis_carolinensis |
ENSATEG00000009393 | nanos2 | 78 | 38.095 | ENSACAG00000023813 | - | 82 | 38.095 | Anolis_carolinensis |
ENSATEG00000009393 | nanos2 | 78 | 37.008 | ENSACAG00000022041 | - | 81 | 38.583 | Anolis_carolinensis |
ENSATEG00000009393 | nanos2 | 78 | 36.508 | ENSACAG00000022207 | - | 81 | 38.095 | Anolis_carolinensis |
ENSATEG00000009393 | nanos2 | 78 | 37.008 | ENSACAG00000024568 | - | 81 | 38.583 | Anolis_carolinensis |
ENSATEG00000009393 | nanos2 | 78 | 38.095 | ENSACAG00000005197 | - | 82 | 38.095 | Anolis_carolinensis |
ENSATEG00000009393 | nanos2 | 78 | 37.008 | ENSACAG00000023650 | - | 81 | 38.583 | Anolis_carolinensis |
ENSATEG00000009393 | nanos2 | 78 | 36.508 | ENSACAG00000026771 | - | 82 | 38.095 | Anolis_carolinensis |
ENSATEG00000009393 | nanos2 | 78 | 37.313 | ENSACAG00000025556 | - | 81 | 37.313 | Anolis_carolinensis |
ENSATEG00000009393 | nanos2 | 78 | 36.508 | ENSACAG00000024370 | - | 82 | 38.095 | Anolis_carolinensis |
ENSATEG00000009393 | nanos2 | 78 | 37.008 | ENSACAG00000027265 | - | 81 | 38.583 | Anolis_carolinensis |
ENSATEG00000009393 | nanos2 | 78 | 38.095 | ENSACAG00000027568 | - | 82 | 38.095 | Anolis_carolinensis |
ENSATEG00000009393 | nanos2 | 78 | 38.760 | ENSACAG00000024995 | - | 79 | 37.302 | Anolis_carolinensis |
ENSATEG00000009393 | nanos2 | 78 | 38.095 | ENSACAG00000028048 | - | 82 | 37.302 | Anolis_carolinensis |
ENSATEG00000009393 | nanos2 | 78 | 38.095 | ENSACAG00000022321 | - | 82 | 37.302 | Anolis_carolinensis |
ENSATEG00000009393 | nanos2 | 78 | 38.095 | ENSACAG00000026350 | - | 82 | 38.095 | Anolis_carolinensis |
ENSATEG00000009393 | nanos2 | 78 | 36.220 | ENSACAG00000027212 | - | 81 | 37.795 | Anolis_carolinensis |
ENSATEG00000009393 | nanos2 | 78 | 36.508 | ENSACAG00000026757 | - | 82 | 38.095 | Anolis_carolinensis |
ENSATEG00000009393 | nanos2 | 78 | 37.008 | ENSACAG00000023855 | - | 81 | 38.583 | Anolis_carolinensis |
ENSATEG00000009393 | nanos2 | 78 | 37.008 | ENSACAG00000024972 | - | 81 | 38.583 | Anolis_carolinensis |
ENSATEG00000009393 | nanos2 | 78 | 35.714 | ENSACAG00000024432 | - | 81 | 37.302 | Anolis_carolinensis |
ENSATEG00000009393 | nanos2 | 78 | 40.310 | ENSACAG00000024434 | - | 80 | 38.095 | Anolis_carolinensis |
ENSATEG00000009393 | nanos2 | 78 | 36.220 | ENSACAG00000024218 | - | 81 | 37.795 | Anolis_carolinensis |
ENSATEG00000009393 | nanos2 | 78 | 40.310 | ENSACAG00000025044 | - | 80 | 35.714 | Anolis_carolinensis |
ENSATEG00000009393 | nanos2 | 78 | 37.008 | ENSACAG00000010268 | - | 81 | 38.583 | Anolis_carolinensis |
ENSATEG00000009393 | nanos2 | 78 | 36.508 | ENSACAG00000025260 | - | 82 | 38.095 | Anolis_carolinensis |
ENSATEG00000009393 | nanos2 | 78 | 37.302 | ENSACAG00000023519 | - | 79 | 39.683 | Anolis_carolinensis |
ENSATEG00000009393 | nanos2 | 78 | 36.220 | ENSACAG00000017474 | - | 81 | 37.795 | Anolis_carolinensis |
ENSATEG00000009393 | nanos2 | 78 | 38.760 | ENSACAG00000022088 | - | 80 | 38.889 | Anolis_carolinensis |
ENSATEG00000009393 | nanos2 | 78 | 38.095 | ENSACAG00000025452 | - | 82 | 38.095 | Anolis_carolinensis |
ENSATEG00000009393 | nanos2 | 78 | 40.310 | ENSACAG00000027983 | - | 80 | 36.508 | Anolis_carolinensis |
ENSATEG00000009393 | nanos2 | 78 | 37.302 | ENSACAG00000026660 | - | 82 | 37.302 | Anolis_carolinensis |
ENSATEG00000009393 | nanos2 | 78 | 38.095 | ENSACAG00000025505 | - | 82 | 38.095 | Anolis_carolinensis |
ENSATEG00000009393 | nanos2 | 78 | 36.220 | ENSACAG00000026914 | - | 81 | 37.795 | Anolis_carolinensis |
ENSATEG00000009393 | nanos2 | 78 | 39.535 | ENSACAG00000026334 | - | 80 | 37.302 | Anolis_carolinensis |
ENSATEG00000009393 | nanos2 | 78 | 37.008 | ENSACAG00000026317 | - | 81 | 38.583 | Anolis_carolinensis |
ENSATEG00000009393 | nanos2 | 78 | 38.095 | ENSACAG00000024524 | - | 82 | 38.095 | Anolis_carolinensis |
ENSATEG00000009393 | nanos2 | 78 | 36.220 | ENSACAG00000026679 | - | 81 | 37.795 | Anolis_carolinensis |
ENSATEG00000009393 | nanos2 | 78 | 37.008 | ENSACAG00000025093 | - | 81 | 38.583 | Anolis_carolinensis |
ENSATEG00000009393 | nanos2 | 78 | 36.508 | ENSACAG00000025655 | - | 82 | 38.095 | Anolis_carolinensis |
ENSATEG00000009393 | nanos2 | 78 | 35.714 | ENSACAG00000022861 | - | 82 | 37.302 | Anolis_carolinensis |
ENSATEG00000009393 | nanos2 | 78 | 37.008 | ENSACAG00000027440 | - | 81 | 38.583 | Anolis_carolinensis |
ENSATEG00000009393 | nanos2 | 78 | 37.008 | ENSACAG00000024639 | - | 81 | 38.583 | Anolis_carolinensis |
ENSATEG00000009393 | nanos2 | 78 | 36.508 | ENSACAG00000023823 | - | 82 | 38.095 | Anolis_carolinensis |
ENSATEG00000009393 | nanos2 | 78 | 37.008 | ENSACAG00000022675 | - | 81 | 38.583 | Anolis_carolinensis |
ENSATEG00000009393 | nanos2 | 78 | 38.095 | ENSACAG00000014502 | - | 82 | 37.302 | Anolis_carolinensis |
ENSATEG00000009393 | nanos2 | 78 | 38.095 | ENSACAG00000025632 | - | 82 | 37.302 | Anolis_carolinensis |
ENSATEG00000009393 | nanos2 | 76 | 39.024 | ENSANAG00000025042 | NANOS3 | 64 | 39.200 | Aotus_nancymaae |
ENSATEG00000009393 | nanos2 | 84 | 44.118 | ENSACLG00000027005 | nanos2 | 78 | 41.912 | Astatotilapia_calliptera |
ENSATEG00000009393 | nanos2 | 81 | 38.129 | ENSAMXG00000042358 | nanos2 | 82 | 37.226 | Astyanax_mexicanus |
ENSATEG00000009393 | nanos2 | 85 | 34.337 | ENSAMXG00000043091 | nanos1 | 89 | 34.337 | Astyanax_mexicanus |
ENSATEG00000009393 | nanos2 | 85 | 34.132 | ENSAMXG00000030027 | NANOS1 | 89 | 32.934 | Astyanax_mexicanus |
ENSATEG00000009393 | nanos2 | 76 | 40.650 | ENSBTAG00000000399 | NANOS3 | 62 | 40.650 | Bos_taurus |
ENSATEG00000009393 | nanos2 | 80 | 36.029 | ENSBTAG00000047505 | NANOS2 | 85 | 39.231 | Bos_taurus |
ENSATEG00000009393 | nanos2 | 76 | 37.398 | ENSCJAG00000004388 | NANOS3 | 64 | 40.800 | Callithrix_jacchus |
ENSATEG00000009393 | nanos2 | 80 | 38.571 | ENSCJAG00000012141 | NANOS2 | 82 | 40.310 | Callithrix_jacchus |
ENSATEG00000009393 | nanos2 | 76 | 41.463 | ENSCAFG00000016592 | NANOS3 | 55 | 44.715 | Canis_familiaris |
ENSATEG00000009393 | nanos2 | 80 | 36.429 | ENSCAFG00000024541 | NANOS2 | 85 | 36.170 | Canis_familiaris |
ENSATEG00000009393 | nanos2 | 80 | 36.429 | ENSCAFG00020001772 | NANOS2 | 85 | 36.170 | Canis_lupus_dingo |
ENSATEG00000009393 | nanos2 | 76 | 41.463 | ENSCAFG00020006694 | NANOS3 | 55 | 44.715 | Canis_lupus_dingo |
ENSATEG00000009393 | nanos2 | 76 | 42.276 | ENSCHIG00000007837 | NANOS3 | 60 | 42.276 | Capra_hircus |
ENSATEG00000009393 | nanos2 | 80 | 36.029 | ENSCHIG00000012637 | NANOS2 | 85 | 39.231 | Capra_hircus |
ENSATEG00000009393 | nanos2 | 76 | 41.600 | ENSTSYG00000026709 | NANOS3 | 61 | 42.276 | Carlito_syrichta |
ENSATEG00000009393 | nanos2 | 76 | 39.024 | ENSCAPG00000014339 | NANOS3 | 68 | 40.650 | Cavia_aperea |
ENSATEG00000009393 | nanos2 | 82 | 37.500 | ENSCAPG00000016771 | NANOS2 | 87 | 37.226 | Cavia_aperea |
ENSATEG00000009393 | nanos2 | 76 | 37.398 | ENSCPOG00000020727 | NANOS3 | 62 | 39.516 | Cavia_porcellus |
ENSATEG00000009393 | nanos2 | 82 | 37.500 | ENSCPOG00000014969 | NANOS2 | 87 | 37.226 | Cavia_porcellus |
ENSATEG00000009393 | nanos2 | 76 | 38.889 | ENSCCAG00000036253 | NANOS3 | 62 | 40.650 | Cebus_capucinus |
ENSATEG00000009393 | nanos2 | 84 | 38.971 | ENSCATG00000018951 | NANOS2 | 84 | 41.860 | Cercocebus_atys |
ENSATEG00000009393 | nanos2 | 76 | 37.226 | ENSCATG00000034885 | NANOS3 | 66 | 38.849 | Cercocebus_atys |
ENSATEG00000009393 | nanos2 | 76 | 36.585 | ENSCLAG00000015139 | NANOS3 | 60 | 39.200 | Chinchilla_lanigera |
ENSATEG00000009393 | nanos2 | 82 | 37.226 | ENSCLAG00000001832 | NANOS2 | 85 | 37.500 | Chinchilla_lanigera |
ENSATEG00000009393 | nanos2 | 76 | 37.324 | ENSCSAG00000006428 | NANOS3 | 67 | 37.324 | Chlorocebus_sabaeus |
ENSATEG00000009393 | nanos2 | 84 | 38.095 | ENSCSAG00000019629 | NANOS2 | 84 | 39.286 | Chlorocebus_sabaeus |
ENSATEG00000009393 | nanos2 | 80 | 35.766 | ENSCHOG00000001937 | NANOS2 | 85 | 37.594 | Choloepus_hoffmanni |
ENSATEG00000009393 | nanos2 | 80 | 38.462 | ENSCPBG00000007141 | NANOS2 | 76 | 36.923 | Chrysemys_picta_bellii |
ENSATEG00000009393 | nanos2 | 81 | 35.606 | ENSCPBG00000023819 | NANOS3 | 82 | 35.115 | Chrysemys_picta_bellii |
ENSATEG00000009393 | nanos2 | 76 | 40.310 | ENSCANG00000034930 | NANOS3 | 66 | 38.235 | Colobus_angolensis_palliatus |
ENSATEG00000009393 | nanos2 | 80 | 39.286 | ENSCANG00000012014 | NANOS2 | 84 | 41.860 | Colobus_angolensis_palliatus |
ENSATEG00000009393 | nanos2 | 80 | 38.806 | ENSCGRG00001013726 | Nanos2 | 83 | 38.060 | Cricetulus_griseus_chok1gshd |
ENSATEG00000009393 | nanos2 | 76 | 39.024 | ENSCGRG00001023851 | Nanos3 | 61 | 39.024 | Cricetulus_griseus_chok1gshd |
ENSATEG00000009393 | nanos2 | 76 | 39.024 | ENSCGRG00000017734 | Nanos3 | 60 | 39.024 | Cricetulus_griseus_crigri |
ENSATEG00000009393 | nanos2 | 80 | 38.806 | ENSCGRG00000019170 | Nanos2 | 83 | 38.060 | Cricetulus_griseus_crigri |
ENSATEG00000009393 | nanos2 | 88 | 46.853 | ENSCSEG00000017157 | nanos2 | 89 | 47.973 | Cynoglossus_semilaevis |
ENSATEG00000009393 | nanos2 | 80 | 48.062 | ENSCVAG00000006947 | nanos2 | 88 | 45.324 | Cyprinodon_variegatus |
ENSATEG00000009393 | nanos2 | 78 | 41.732 | ENSDARG00000116802 | nanos2 | 84 | 41.732 | Danio_rerio |
ENSATEG00000009393 | nanos2 | 90 | 34.667 | ENSDARG00000068255 | nanos3 | 91 | 33.548 | Danio_rerio |
ENSATEG00000009393 | nanos2 | 84 | 37.143 | ENSDNOG00000044718 | NANOS2 | 85 | 38.060 | Dasypus_novemcinctus |
ENSATEG00000009393 | nanos2 | 84 | 36.735 | ENSEASG00005014235 | NANOS2 | 89 | 37.500 | Equus_asinus_asinus |
ENSATEG00000009393 | nanos2 | 76 | 43.089 | ENSEASG00005015313 | NANOS3 | 63 | 43.089 | Equus_asinus_asinus |
ENSATEG00000009393 | nanos2 | 76 | 43.089 | ENSECAG00000016293 | NANOS3 | 60 | 43.089 | Equus_caballus |
ENSATEG00000009393 | nanos2 | 84 | 36.735 | ENSECAG00000006033 | NANOS2 | 89 | 37.500 | Equus_caballus |
ENSATEG00000009393 | nanos2 | 80 | 39.568 | ENSEEUG00000009930 | NANOS2 | 85 | 40.000 | Erinaceus_europaeus |
ENSATEG00000009393 | nanos2 | 76 | 38.095 | ENSEEUG00000009900 | NANOS3 | 73 | 38.095 | Erinaceus_europaeus |
ENSATEG00000009393 | nanos2 | 83 | 34.000 | ENSELUG00000016582 | - | 82 | 34.000 | Esox_lucius |
ENSATEG00000009393 | nanos2 | 78 | 43.796 | ENSELUG00000019091 | - | 78 | 45.865 | Esox_lucius |
ENSATEG00000009393 | nanos2 | 86 | 34.416 | ENSELUG00000016082 | nanos3 | 91 | 33.117 | Esox_lucius |
ENSATEG00000009393 | nanos2 | 80 | 37.143 | ENSFCAG00000027661 | NANOS2 | 85 | 37.589 | Felis_catus |
ENSATEG00000009393 | nanos2 | 72 | 36.207 | ENSFCAG00000003717 | NANOS3 | 64 | 40.517 | Felis_catus |
ENSATEG00000009393 | nanos2 | 76 | 36.719 | ENSFDAG00000018459 | NANOS3 | 60 | 37.398 | Fukomys_damarensis |
ENSATEG00000009393 | nanos2 | 82 | 38.806 | ENSFDAG00000016342 | NANOS2 | 87 | 37.313 | Fukomys_damarensis |
ENSATEG00000009393 | nanos2 | 80 | 51.538 | ENSFHEG00000012835 | NANOS2 | 90 | 50.000 | Fundulus_heteroclitus |
ENSATEG00000009393 | nanos2 | 80 | 31.847 | ENSFHEG00000017084 | - | 79 | 34.694 | Fundulus_heteroclitus |
ENSATEG00000009393 | nanos2 | 86 | 50.000 | ENSGAFG00000006000 | - | 77 | 48.571 | Gambusia_affinis |
ENSATEG00000009393 | nanos2 | 77 | 35.714 | ENSGACG00000004930 | - | 95 | 35.200 | Gasterosteus_aculeatus |
ENSATEG00000009393 | nanos2 | 80 | 35.115 | ENSGACG00000019003 | nanos3 | 82 | 35.821 | Gasterosteus_aculeatus |
ENSATEG00000009393 | nanos2 | 78 | 37.984 | ENSGAGG00000005591 | - | 63 | 37.500 | Gopherus_agassizii |
ENSATEG00000009393 | nanos2 | 80 | 38.760 | ENSGAGG00000009500 | NANOS2 | 68 | 38.760 | Gopherus_agassizii |
ENSATEG00000009393 | nanos2 | 80 | 35.333 | ENSGAGG00000015730 | NANOS1 | 87 | 34.667 | Gopherus_agassizii |
ENSATEG00000009393 | nanos2 | 80 | 40.310 | ENSGGOG00000013447 | NANOS2 | 84 | 41.085 | Gorilla_gorilla |
ENSATEG00000009393 | nanos2 | 76 | 40.152 | ENSGGOG00000000964 | NANOS3 | 67 | 36.620 | Gorilla_gorilla |
ENSATEG00000009393 | nanos2 | 94 | 54.088 | ENSHBUG00000016772 | nanos2 | 96 | 55.975 | Haplochromis_burtoni |
ENSATEG00000009393 | nanos2 | 76 | 37.398 | ENSHGLG00000019378 | NANOS3 | 59 | 37.398 | Heterocephalus_glaber_female |
ENSATEG00000009393 | nanos2 | 76 | 37.398 | ENSHGLG00100012652 | NANOS3 | 59 | 37.398 | Heterocephalus_glaber_male |
ENSATEG00000009393 | nanos2 | 80 | 40.580 | ENSHCOG00000014790 | nanos3 | 80 | 37.313 | Hippocampus_comes |
ENSATEG00000009393 | nanos2 | 78 | 39.062 | ENSIPUG00000007200 | - | 76 | 39.062 | Ictalurus_punctatus |
ENSATEG00000009393 | nanos2 | 78 | 38.583 | ENSIPUG00000012246 | - | 66 | 38.583 | Ictalurus_punctatus |
ENSATEG00000009393 | nanos2 | 85 | 41.667 | ENSIPUG00000024113 | nanos2 | 81 | 38.971 | Ictalurus_punctatus |
ENSATEG00000009393 | nanos2 | 76 | 43.902 | ENSSTOG00000024797 | NANOS3 | 59 | 46.341 | Ictidomys_tridecemlineatus |
ENSATEG00000009393 | nanos2 | 80 | 39.098 | ENSSTOG00000021724 | NANOS2 | 84 | 38.346 | Ictidomys_tridecemlineatus |
ENSATEG00000009393 | nanos2 | 76 | 38.710 | ENSJJAG00000000545 | Nanos3 | 59 | 40.650 | Jaculus_jaculus |
ENSATEG00000009393 | nanos2 | 85 | 34.545 | ENSLBEG00000027516 | - | 89 | 32.121 | Labrus_bergylta |
ENSATEG00000009393 | nanos2 | 91 | 58.940 | ENSLBEG00000018836 | nanos2 | 97 | 57.432 | Labrus_bergylta |
ENSATEG00000009393 | nanos2 | 80 | 34.247 | ENSLACG00000014980 | - | 83 | 34.247 | Latimeria_chalumnae |
ENSATEG00000009393 | nanos2 | 78 | 38.168 | ENSLACG00000013286 | NANOS3 | 81 | 38.168 | Latimeria_chalumnae |
ENSATEG00000009393 | nanos2 | 80 | 37.762 | ENSLAFG00000014090 | NANOS2 | 85 | 37.500 | Loxodonta_africana |
ENSATEG00000009393 | nanos2 | 76 | 38.211 | ENSLAFG00000008480 | NANOS3 | 60 | 41.935 | Loxodonta_africana |
ENSATEG00000009393 | nanos2 | 76 | 40.310 | ENSMFAG00000040009 | NANOS3 | 65 | 38.235 | Macaca_fascicularis |
ENSATEG00000009393 | nanos2 | 80 | 39.286 | ENSMFAG00000017215 | NANOS2 | 84 | 41.860 | Macaca_fascicularis |
ENSATEG00000009393 | nanos2 | 76 | 40.945 | ENSMMUG00000008316 | NANOS3 | 65 | 40.157 | Macaca_mulatta |
ENSATEG00000009393 | nanos2 | 80 | 39.286 | ENSMMUG00000008103 | NANOS2 | 84 | 41.860 | Macaca_mulatta |
ENSATEG00000009393 | nanos2 | 76 | 40.310 | ENSMNEG00000028898 | NANOS3 | 66 | 38.235 | Macaca_nemestrina |
ENSATEG00000009393 | nanos2 | 80 | 39.286 | ENSMNEG00000004633 | NANOS2 | 84 | 41.860 | Macaca_nemestrina |
ENSATEG00000009393 | nanos2 | 84 | 38.971 | ENSMLEG00000001810 | NANOS2 | 84 | 41.860 | Mandrillus_leucophaeus |
ENSATEG00000009393 | nanos2 | 76 | 39.844 | ENSMLEG00000033135 | NANOS3 | 65 | 39.130 | Mandrillus_leucophaeus |
ENSATEG00000009393 | nanos2 | 86 | 55.319 | ENSMAMG00000005577 | NANOS2 | 86 | 50.694 | Mastacembelus_armatus |
ENSATEG00000009393 | nanos2 | 94 | 57.233 | ENSMZEG00005021987 | - | 96 | 55.346 | Maylandia_zebra |
ENSATEG00000009393 | nanos2 | 94 | 50.943 | ENSMZEG00005003043 | - | 96 | 52.830 | Maylandia_zebra |
ENSATEG00000009393 | nanos2 | 94 | 51.572 | ENSMZEG00005028148 | - | 96 | 53.459 | Maylandia_zebra |
ENSATEG00000009393 | nanos2 | 94 | 50.943 | ENSMZEG00005028154 | - | 96 | 52.830 | Maylandia_zebra |
ENSATEG00000009393 | nanos2 | 94 | 51.572 | ENSMZEG00005024641 | - | 96 | 53.459 | Maylandia_zebra |
ENSATEG00000009393 | nanos2 | 76 | 39.024 | ENSMAUG00000008396 | Nanos3 | 60 | 39.024 | Mesocricetus_auratus |
ENSATEG00000009393 | nanos2 | 76 | 43.902 | ENSMICG00000030950 | NANOS3 | 61 | 45.528 | Microcebus_murinus |
ENSATEG00000009393 | nanos2 | 80 | 39.535 | ENSMOCG00000001985 | Nanos2 | 83 | 39.695 | Microtus_ochrogaster |
ENSATEG00000009393 | nanos2 | 76 | 38.211 | ENSMOCG00000000059 | Nanos3 | 60 | 39.837 | Microtus_ochrogaster |
ENSATEG00000009393 | nanos2 | 80 | 56.589 | ENSMMOG00000009827 | nanos2 | 79 | 56.589 | Mola_mola |
ENSATEG00000009393 | nanos2 | 77 | 39.200 | ENSMODG00000023964 | - | 79 | 37.600 | Monodelphis_domestica |
ENSATEG00000009393 | nanos2 | 80 | 37.226 | ENSMALG00000005945 | nanos3 | 78 | 35.556 | Monopterus_albus |
ENSATEG00000009393 | nanos2 | 77 | 37.097 | ENSMALG00000011545 | - | 58 | 37.903 | Monopterus_albus |
ENSATEG00000009393 | nanos2 | 78 | 52.756 | ENSMALG00000006299 | nanos2 | 70 | 49.206 | Monopterus_albus |
ENSATEG00000009393 | nanos2 | 84 | 38.406 | MGP_CAROLIEiJ_G0029263 | Nanos2 | 89 | 38.406 | Mus_caroli |
ENSATEG00000009393 | nanos2 | 76 | 40.650 | MGP_CAROLIEiJ_G0031296 | Nanos3 | 59 | 41.463 | Mus_caroli |
ENSATEG00000009393 | nanos2 | 84 | 41.304 | ENSMUSG00000051965 | Nanos2 | 89 | 40.580 | Mus_musculus |
ENSATEG00000009393 | nanos2 | 76 | 40.650 | ENSMUSG00000056155 | Nanos3 | 61 | 41.463 | Mus_musculus |
ENSATEG00000009393 | nanos2 | 80 | 41.221 | MGP_PahariEiJ_G0021123 | Nanos2 | 84 | 41.985 | Mus_pahari |
ENSATEG00000009393 | nanos2 | 76 | 40.650 | MGP_PahariEiJ_G0022902 | Nanos3 | 59 | 41.463 | Mus_pahari |
ENSATEG00000009393 | nanos2 | 76 | 40.650 | MGP_SPRETEiJ_G0032414 | Nanos3 | 60 | 41.463 | Mus_spretus |
ENSATEG00000009393 | nanos2 | 84 | 39.130 | MGP_SPRETEiJ_G0030347 | Nanos2 | 89 | 39.855 | Mus_spretus |
ENSATEG00000009393 | nanos2 | 80 | 35.714 | ENSMPUG00000019371 | NANOS2 | 85 | 34.752 | Mustela_putorius_furo |
ENSATEG00000009393 | nanos2 | 76 | 44.715 | ENSMPUG00000003282 | NANOS3 | 60 | 44.715 | Mustela_putorius_furo |
ENSATEG00000009393 | nanos2 | 76 | 43.089 | ENSMLUG00000012971 | NANOS3 | 61 | 43.089 | Myotis_lucifugus |
ENSATEG00000009393 | nanos2 | 76 | 36.111 | ENSNGAG00000023539 | Nanos1 | 71 | 36.111 | Nannospalax_galili |
ENSATEG00000009393 | nanos2 | 76 | 41.463 | ENSNGAG00000020486 | Nanos3 | 59 | 41.463 | Nannospalax_galili |
ENSATEG00000009393 | nanos2 | 85 | 47.445 | ENSNBRG00000018838 | NANOS2 | 75 | 45.255 | Neolamprologus_brichardi |
ENSATEG00000009393 | nanos2 | 85 | 31.737 | ENSNBRG00000014018 | - | 85 | 34.177 | Neolamprologus_brichardi |
ENSATEG00000009393 | nanos2 | 76 | 39.844 | ENSNLEG00000034574 | NANOS3 | 65 | 37.500 | Nomascus_leucogenys |
ENSATEG00000009393 | nanos2 | 84 | 38.235 | ENSOPRG00000010043 | NANOS2 | 85 | 40.602 | Ochotona_princeps |
ENSATEG00000009393 | nanos2 | 76 | 39.844 | ENSOPRG00000007211 | - | 63 | 40.945 | Ochotona_princeps |
ENSATEG00000009393 | nanos2 | 76 | 42.276 | ENSODEG00000008907 | NANOS3 | 58 | 43.089 | Octodon_degus |
ENSATEG00000009393 | nanos2 | 87 | 54.422 | ENSONIG00000005777 | nanos2 | 89 | 56.463 | Oreochromis_niloticus |
ENSATEG00000009393 | nanos2 | 76 | 39.370 | ENSOANG00000013042 | - | 79 | 39.370 | Ornithorhynchus_anatinus |
ENSATEG00000009393 | nanos2 | 84 | 36.879 | ENSOCUG00000023755 | NANOS2 | 85 | 38.462 | Oryctolagus_cuniculus |
ENSATEG00000009393 | nanos2 | 76 | 40.650 | ENSOCUG00000014802 | NANOS3 | 63 | 43.089 | Oryctolagus_cuniculus |
ENSATEG00000009393 | nanos2 | 100 | 59.259 | ENSORLG00000009335 | nanos2 | 100 | 59.877 | Oryzias_latipes |
ENSATEG00000009393 | nanos2 | 100 | 59.259 | ENSORLG00020013284 | nanos2 | 100 | 59.877 | Oryzias_latipes_hni |
ENSATEG00000009393 | nanos2 | 100 | 58.642 | ENSORLG00015013150 | nanos2 | 100 | 59.259 | Oryzias_latipes_hsok |
ENSATEG00000009393 | nanos2 | 82 | 32.934 | ENSOMEG00000008866 | NANOS1 | 89 | 32.927 | Oryzias_melastigma |
ENSATEG00000009393 | nanos2 | 88 | 54.930 | ENSOMEG00000006512 | nanos2 | 100 | 51.235 | Oryzias_melastigma |
ENSATEG00000009393 | nanos2 | 84 | 38.686 | ENSOGAG00000032290 | NANOS2 | 85 | 39.394 | Otolemur_garnettii |
ENSATEG00000009393 | nanos2 | 76 | 43.089 | ENSOGAG00000007190 | NANOS3 | 61 | 43.089 | Otolemur_garnettii |
ENSATEG00000009393 | nanos2 | 80 | 36.029 | ENSOARG00000011467 | NANOS2 | 85 | 39.231 | Ovis_aries |
ENSATEG00000009393 | nanos2 | 76 | 40.650 | ENSOARG00000008043 | NANOS3 | 59 | 40.650 | Ovis_aries |
ENSATEG00000009393 | nanos2 | 76 | 39.844 | ENSPPAG00000032168 | NANOS3 | 66 | 37.500 | Pan_paniscus |
ENSATEG00000009393 | nanos2 | 80 | 39.286 | ENSPPAG00000020568 | NANOS2 | 84 | 39.535 | Pan_paniscus |
ENSATEG00000009393 | nanos2 | 76 | 39.024 | ENSPPRG00000009573 | NANOS3 | 61 | 43.089 | Panthera_pardus |
ENSATEG00000009393 | nanos2 | 80 | 37.143 | ENSPPRG00000015211 | NANOS2 | 85 | 40.000 | Panthera_pardus |
ENSATEG00000009393 | nanos2 | 80 | 37.143 | ENSPTIG00000015372 | NANOS2 | 84 | 40.000 | Panthera_tigris_altaica |
ENSATEG00000009393 | nanos2 | 76 | 39.024 | ENSPTIG00000000325 | NANOS3 | 61 | 43.089 | Panthera_tigris_altaica |
ENSATEG00000009393 | nanos2 | 80 | 39.286 | ENSPTRG00000011172 | NANOS2 | 84 | 39.535 | Pan_troglodytes |
ENSATEG00000009393 | nanos2 | 76 | 39.844 | ENSPTRG00000010568 | NANOS3 | 66 | 37.500 | Pan_troglodytes |
ENSATEG00000009393 | nanos2 | 76 | 39.844 | ENSPANG00000015037 | NANOS3 | 64 | 38.971 | Papio_anubis |
ENSATEG00000009393 | nanos2 | 84 | 38.971 | ENSPANG00000009327 | NANOS2 | 84 | 41.860 | Papio_anubis |
ENSATEG00000009393 | nanos2 | 76 | 35.971 | ENSPKIG00000009354 | nanos3 | 71 | 35.915 | Paramormyrops_kingsleyae |
ENSATEG00000009393 | nanos2 | 79 | 48.062 | ENSPKIG00000006934 | - | 86 | 48.462 | Paramormyrops_kingsleyae |
ENSATEG00000009393 | nanos2 | 77 | 35.484 | ENSPKIG00000006905 | - | 54 | 35.484 | Paramormyrops_kingsleyae |
ENSATEG00000009393 | nanos2 | 80 | 36.641 | ENSPSIG00000007082 | NANOS2 | 83 | 38.168 | Pelodiscus_sinensis |
ENSATEG00000009393 | nanos2 | 76 | 54.400 | ENSPMGG00000023681 | nanos2 | 69 | 49.593 | Periophthalmus_magnuspinnatus |
ENSATEG00000009393 | nanos2 | 80 | 40.909 | ENSPEMG00000014999 | Nanos2 | 84 | 39.850 | Peromyscus_maniculatus_bairdii |
ENSATEG00000009393 | nanos2 | 89 | 52.597 | ENSPFOG00000020721 | NANOS2 | 95 | 52.597 | Poecilia_formosa |
ENSATEG00000009393 | nanos2 | 86 | 53.846 | ENSPLAG00000007786 | NANOS2 | 96 | 51.064 | Poecilia_latipinna |
ENSATEG00000009393 | nanos2 | 76 | 56.800 | ENSPMEG00000005681 | NANOS2 | 79 | 53.659 | Poecilia_mexicana |
ENSATEG00000009393 | nanos2 | 81 | 51.908 | ENSPREG00000020465 | nanos2 | 88 | 49.618 | Poecilia_reticulata |
ENSATEG00000009393 | nanos2 | 84 | 38.095 | ENSPPYG00000010138 | NANOS2 | 84 | 39.535 | Pongo_abelii |
ENSATEG00000009393 | nanos2 | 76 | 40.909 | ENSPPYG00000009627 | NANOS3 | 66 | 40.909 | Pongo_abelii |
ENSATEG00000009393 | nanos2 | 80 | 39.394 | ENSPCAG00000005087 | NANOS2 | 85 | 38.346 | Procavia_capensis |
ENSATEG00000009393 | nanos2 | 76 | 44.715 | ENSPCOG00000018814 | NANOS3 | 61 | 43.902 | Propithecus_coquereli |
ENSATEG00000009393 | nanos2 | 76 | 43.089 | ENSPVAG00000017538 | NANOS3 | 62 | 46.341 | Pteropus_vampyrus |
ENSATEG00000009393 | nanos2 | 84 | 34.694 | ENSPVAG00000001363 | NANOS2 | 89 | 39.437 | Pteropus_vampyrus |
ENSATEG00000009393 | nanos2 | 85 | 51.095 | ENSPNYG00000004545 | NANOS2 | 88 | 50.365 | Pundamilia_nyererei |
ENSATEG00000009393 | nanos2 | 90 | 34.857 | ENSPNAG00000017440 | nanos2 | 80 | 34.857 | Pygocentrus_nattereri |
ENSATEG00000009393 | nanos2 | 78 | 37.209 | ENSPNAG00000002259 | nanos3 | 74 | 36.170 | Pygocentrus_nattereri |
ENSATEG00000009393 | nanos2 | 76 | 39.837 | ENSRNOG00000031593 | Nanos3 | 60 | 41.463 | Rattus_norvegicus |
ENSATEG00000009393 | nanos2 | 80 | 40.458 | ENSRNOG00000038088 | Nanos2 | 89 | 39.130 | Rattus_norvegicus |
ENSATEG00000009393 | nanos2 | 76 | 38.235 | ENSRBIG00000037377 | NANOS3 | 66 | 39.706 | Rhinopithecus_bieti |
ENSATEG00000009393 | nanos2 | 80 | 39.286 | ENSRBIG00000023726 | NANOS2 | 84 | 41.860 | Rhinopithecus_bieti |
ENSATEG00000009393 | nanos2 | 80 | 41.860 | ENSRROG00000014903 | NANOS2 | 84 | 41.860 | Rhinopithecus_roxellana |
ENSATEG00000009393 | nanos2 | 76 | 39.416 | ENSRROG00000032642 | NANOS3 | 66 | 39.416 | Rhinopithecus_roxellana |
ENSATEG00000009393 | nanos2 | 76 | 40.650 | ENSSBOG00000020970 | NANOS3 | 63 | 40.650 | Saimiri_boliviensis_boliviensis |
ENSATEG00000009393 | nanos2 | 78 | 34.646 | ENSSHAG00000010756 | - | 81 | 36.220 | Sarcophilus_harrisii |
ENSATEG00000009393 | nanos2 | 78 | 34.646 | ENSSHAG00000012099 | - | 81 | 34.646 | Sarcophilus_harrisii |
ENSATEG00000009393 | nanos2 | 80 | 42.636 | ENSSHAG00000017034 | NANOS2 | 84 | 41.538 | Sarcophilus_harrisii |
ENSATEG00000009393 | nanos2 | 78 | 43.651 | ENSSFOG00015007586 | - | 78 | 42.857 | Scleropages_formosus |
ENSATEG00000009393 | nanos2 | 76 | 35.659 | ENSSFOG00015013452 | nanos3 | 85 | 35.659 | Scleropages_formosus |
ENSATEG00000009393 | nanos2 | 92 | 55.484 | ENSSMAG00000013915 | nanos2 | 93 | 59.615 | Scophthalmus_maximus |
ENSATEG00000009393 | nanos2 | 94 | 62.025 | ENSSDUG00000016576 | nanos2 | 96 | 63.924 | Seriola_dumerili |
ENSATEG00000009393 | nanos2 | 94 | 61.006 | ENSSLDG00000013795 | nanos2 | 96 | 62.893 | Seriola_lalandi_dorsalis |
ENSATEG00000009393 | nanos2 | 76 | 41.463 | ENSSARG00000008966 | NANOS3 | 60 | 41.463 | Sorex_araneus |
ENSATEG00000009393 | nanos2 | 84 | 36.765 | ENSSPUG00000002566 | NANOS2 | 81 | 37.984 | Sphenodon_punctatus |
ENSATEG00000009393 | nanos2 | 77 | 41.600 | ENSSPUG00000009826 | NANOS3 | 56 | 40.000 | Sphenodon_punctatus |
ENSATEG00000009393 | nanos2 | 94 | 59.236 | ENSSPAG00000003887 | nanos2 | 100 | 55.484 | Stegastes_partitus |
ENSATEG00000009393 | nanos2 | 80 | 41.085 | ENSSSCG00000003096 | NANOS2 | 84 | 39.535 | Sus_scrofa |
ENSATEG00000009393 | nanos2 | 76 | 42.276 | ENSSSCG00000013759 | NANOS3 | 61 | 42.276 | Sus_scrofa |
ENSATEG00000009393 | nanos2 | 85 | 48.551 | ENSTRUG00000017633 | nanos2 | 91 | 49.275 | Takifugu_rubripes |
ENSATEG00000009393 | nanos2 | 85 | 36.879 | ENSTNIG00000010543 | - | 96 | 36.429 | Tetraodon_nigroviridis |
ENSATEG00000009393 | nanos2 | 77 | 38.710 | ENSTNIG00000014063 | nanos3 | 85 | 37.903 | Tetraodon_nigroviridis |
ENSATEG00000009393 | nanos2 | 76 | 44.715 | ENSTBEG00000013729 | NANOS3 | 70 | 44.715 | Tupaia_belangeri |
ENSATEG00000009393 | nanos2 | 80 | 40.310 | ENSTTRG00000014315 | NANOS2 | 85 | 40.000 | Tursiops_truncatus |
ENSATEG00000009393 | nanos2 | 76 | 40.650 | ENSTTRG00000008361 | NANOS3 | 63 | 43.902 | Tursiops_truncatus |
ENSATEG00000009393 | nanos2 | 76 | 41.463 | ENSUAMG00000006804 | NANOS3 | 61 | 42.276 | Ursus_americanus |
ENSATEG00000009393 | nanos2 | 80 | 37.589 | ENSUAMG00000023170 | NANOS2 | 85 | 37.589 | Ursus_americanus |
ENSATEG00000009393 | nanos2 | 74 | 37.405 | ENSUMAG00000023699 | NANOS2 | 70 | 37.405 | Ursus_maritimus |
ENSATEG00000009393 | nanos2 | 76 | 41.463 | ENSUMAG00000004703 | NANOS3 | 59 | 42.276 | Ursus_maritimus |
ENSATEG00000009393 | nanos2 | 76 | 42.276 | ENSVPAG00000011497 | NANOS3 | 62 | 42.276 | Vicugna_pacos |
ENSATEG00000009393 | nanos2 | 80 | 36.429 | ENSVVUG00000002993 | NANOS2 | 85 | 36.170 | Vulpes_vulpes |
ENSATEG00000009393 | nanos2 | 76 | 41.463 | ENSVVUG00000026757 | NANOS3 | 62 | 42.276 | Vulpes_vulpes |
ENSATEG00000009393 | nanos2 | 78 | 39.850 | ENSXETG00000021874 | nanos3 | 83 | 39.850 | Xenopus_tropicalis |
ENSATEG00000009393 | nanos2 | 76 | 40.323 | ENSXETG00000014552 | NANOS2 | 96 | 37.241 | Xenopus_tropicalis |
ENSATEG00000009393 | nanos2 | 78 | 39.370 | ENSXETG00000024565 | nanos1 | 87 | 37.008 | Xenopus_tropicalis |
ENSATEG00000009393 | nanos2 | 89 | 50.323 | ENSXMAG00000020157 | - | 75 | 51.613 | Xiphophorus_maculatus |